Meng Han
- Artificial Intelligence top 5%
- Computer Vision and Pattern Recognition top 5%
- Molecular Biology
- Information Systems top 5%
- Computational Theory and Mathematics top 5%
- Topics
- Data Mining Algorithms and Applications (21 papers)Imbalanced Data Classification Techniques (15 papers)Rough Sets and Fuzzy Logic (14 papers)
- Partner nations
- ChinaUnited StatesBrazil
In The Last Decade
Meng Han
42 papers receiving 1.1k citations
Hit Papers
Peers
Comparison fields: 5 of 150
- Artificial Intelligence 438
- Computer Vision and Pattern Recognition 336
- Molecular Biology 163
- Information Systems 124
- Computational Theory and Mathematics 95
Countries citing papers authored by Meng Han
This map shows the geographic impact of Meng Han's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Meng Han with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Meng Han more than expected).
Fields of papers citing papers by Meng Han
This network shows the impact of papers produced by Meng Han. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Meng Han. The network helps show where Meng Han may publish in the future.
Co-authorship network of co-authors of Meng Han
This figure shows the co-authorship network connecting the top 25 collaborators of Meng Han. A scholar is included among the top collaborators of Meng Han based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Meng Han. Meng Han is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 0 | |
| 5 | 8 | |
| 6 | 0 | |
| 7 | 5 | |
| 8 | 3 | |
| 9 | 5 | |
| 10 | 8 | |
| 11 | 11 | |
| 12 | 181 | |
| 13 | 5 | |
| 14 | 9 | |
| 15 | 60 | |
| 16 | 7 | |
| 17 | TDMCS: an efficient method for mining closed frequent patterns over data streams based on time decay model. | 7 |
| 18 | 51 | |
| 19 | 6 | |
| 20 | Design of Examination System Model based on Networks | 0 |
About Meng Han
Meng Han is a scholar working on Artificial Intelligence, Information Systems and Computational Theory and Mathematics, having authored 50 papers that have together received 1.1k indexed citations. Recurring topics across this work include Data Mining Algorithms and Applications (21 papers), Imbalanced Data Classification Techniques (15 papers) and Rough Sets and Fuzzy Logic (14 papers). The work is most often cited by research in Computational Mathematics (18 citations), Computer Vision and Pattern Recognition (336 citations) and Artificial Intelligence (438 citations). Meng Han has collaborated with scholars based in China, United States and Brazil. Frequent co-authors include Junming Shao, Zhitong Zhao, Zhao Kang, Zenglin Xu, Wang-Tao Zhou, Xiaojuan Li, Le Wang, Ni Zhang, Xi Ma and Michael A. Brown. Their work appears in journals such as PLoS ONE, Analytical Biochemistry and Scientific Reports.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.